The perils and pitfalls of generative AI for R&D [Webinar]

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This is the first webinar in the four-part series called “AI in innovation: Unlocking R&D with data-driven AI.”

From poor data to the frame problem, RAG, and vector-based IR, our panel of AI and data experts will outline the issues that can derail your AI projects as well as explore the perils, pitfalls, and promise of generative AI for R&D. They’ll also answer your questions about how Elsevier licenses, delivers and updates data for use in generative AI.

During this session, we will cover:

Implementing AI: Journey of experimentation
Evolving with AI: How generative AI has opened new opportunities
Examples of generative AI experimentation
Next frontiers: Potential and challenges
Q&A: your questions, answered

Featured Presenters:

Jane Lomax

Head of Ontologies, SciBite
Jane leads the Ontologies technical and services team at SciBite. She holds a PhD in Genetics from Cambridge University and has 20 years’ of experience working with biomedical ontologies, including at EMBL-EBI and the Wellcome Sanger Institute. She has published over 35 scientific papers, mainly in the area of ontology development, and is a regular contributor to public endeavors, including the Pistoia Alliance, Elixir, and the International Society of Biocuration.

Joseph Mullen

Director of Data Science & Professional Services, SciBite
Joe’s academic background sits in compbio and the application of ML-based analytics to semantic knowledge graphs, particularly in the context of drug repositioning. Since leaving academia, Joe has focussed on applying SoTA technology to a wide variety of life sciences and pharma-focus tasks. Joe currently leads the data science and professional services team at SciBite, who are dedicated to providing bespoke solutions to address customers’ specific scientific needs.

Mark Sheehan

Vice President of Data Science, Life Sciences, Elsevier
Mark has been an active player in multiple waves of digital transformation throughout his 20+ year career in Elsevier. He was part of the team that developed and implemented Elsevier’s journal and book data standards, powering the transition from print to online through to ebooks and e-learning. He currently leads a large data science and subject matter expert team developing AI capabilities to enrich scientific content, with a particular focus on extracting biology and chemistry entities and relationships to support the drug discovery life cycle. His expertise in data science and scientific content has supported Elsevier’s significant developments of industrial-scale award-winning AI enrichment pipelines for Life Sciences.

Zen Jelenje (Moderator)

Commercial Director, Corporate Markets, Elsevier
Zen’s academic background is in Environmental Science, with a focus on modeling and policy. He has contributed to UK, EU, and industry consultations on the commercial, statutory, IP, and privacy implications of data science and artificial intelligence. He is responsible for Elsevier’s data division; licensing datasets to organizations undertaking AI-first research projects.

Watch the full webinar

Joe Mullen

Product Director, Software Solutions

With a PhD from Newcastle University in computational approaches to drug repositioning, Joe brings a strong scientific foundation rooted in semantic data integration, knowledge graphs, and data mining. Since joining SciBite in 2017, he has had the privilege of leading the Data Science and Professional Services teams, where he combined cutting-edge technology with our core data enrichment products to create tailored solutions for a diverse range of customers.

Today, as Product Director, Joe is passionate about shaping the vision of our software solutions, aligning them with strategic goals, and most importantly, supporting our clients in unlocking the full potential of their scientific data.

His focus is on driving innovation that empowers scientists and organizations to make impactful discoveries faster and more efficiently.

Other articles by Joe

What is agentic AI and is there a role for ontologies? read more
Are ontologies still relevant in the age of LLMs? read more
What is Retrieval Augmented Generation, and why is the data you feed it so important? read more
Large language models (LLMs) and search; it’s a FAIR game, read more
Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1], read more
Why use your ontology management platform as a central ontology server? read more

Jane Lomax

Head of Ontologies, SciBite

Jane leads the development of SciBite’s vocabularies and ontology services. With a Ph.D. in Genetics from Cambridge University and 15 years of experience working with biomedical ontologies, including at the EBI and Sanger Institute, she focussed on bioinformatics and developing biomedical ontologies. She has published over 35 scientific papers, mainly in ontology development.

Other articles by Jane:

Introduction to ontologies; Watch on demand
Why do you need FAIR data? read more
The key to being FAIR read more
Using ontologies to unlock the full potential of your scientific data – Part 1; read more
How biomedical ontologies are unlocking the full potential of biomedical data; read more

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